Must Haves (Years of Experience, languages, programs, tools, etc.)
5+ years of experience as a Data Engineer, with emphasis on cloud data platforms (Snowflake strongly preferred).
Expertise in advanced SQL for data transformation & modeling (e.g., window functions, CTEs).
Working experience with Python for ETL/ELT, automation, or analytics.
Familiarity with workflow orchestration tools (DBT, Airflow, etc.).
Knowledge of financial, accounting, or technology operations systems and data such as SAP, Clarity, ServiceNow, Cognos Planning and other similar systems.
Demonstrated ability to work collaboratively in cross‑functional teams.
Strong communication skills; experience writing documentation and partnering with non‑technical partners.
Nice To Haves (see above)
Familiarity with Generative AI tools such as Snowflake Cortex AI.
Knowledge and experience working with Technology Business Management (TBM) framework and methodology.
Strong understanding of corporate finance & accounting processes.
Education
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.